A guide to configuring and managing context for AI-powered coding assistants like GitHub Copilot and Continue within VS Code.
A guide to managing context in ChatGPT for better AI results, covering tools like custom instructions, memory, projects, and CustomGPTs.
A guide to managing context in Claude Web, covering Projects, Artifacts, and strategies for effective long-term AI collaboration.
A guide to managing context in Perplexity AI using Spaces, Focus Modes, and prompts for effective research and information synthesis.
A guide to managing context effectively in T3 Chat, a unified multi-model AI interface, covering system prompts, personas, and file handling.
Explores how AI language models shift a programmer's role from writing code to managing context and providing detailed specifications.
Tips from David Crespo on effectively using Claude Code for understanding codebases and automating tedious coding tasks.
A developer shares how they independently built two features for their personal AI system that were later released by Anthropic for Claude Code.
Explores the concept of sessions and context management in Agent-to-Agent (A2A) communication for enterprise AI systems, focusing on state, auditability, and protocol details.
A comparison of AI coding assistants OpenCode and Claude Code, analyzing their capabilities in managing complex coding workflows and context.
A summary of Chapter 6 from 'Prompt Engineering for LLMs', covering prompt structure, document templates, and strategies for effective context inclusion.
Compares the Julia do-block and Python with statement, explaining their different purposes in resource management and function passing.
